Detection of Leakages in a Pipeline Network based on Hydraulic Laboratory Modelling with Artificial Intelligence.

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Title: Detection of Leakages in a Pipeline Network based on Hydraulic Laboratory Modelling with Artificial Intelligence.
Authors: OLADELE, E. M.1 moeofafrica@gmail.com, BABATOLA, J. O.1 jobabatola@futa.edu.ng, AGBOLADE, O. A.1 olaideagbolade@gmail.com
Source: Journal of Applied Sciences & Environmental Management. Aug2023, Vol. 27 Issue 8, p1793-1800. 8p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 172377700
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  Data: Detection of Leakages in a Pipeline Network based on Hydraulic Laboratory Modelling with Artificial Intelligence.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Applied+Sciences+%26+Environmental+Management%22">Journal of Applied Sciences & Environmental Management</searchLink>. Aug2023, Vol. 27 Issue 8, p1793-1800. 8p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.4314/jasem.v27i8.25
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      – Code: eng
        Text: English
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        PageCount: 8
        StartPage: 1793
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      – TitleFull: Detection of Leakages in a Pipeline Network based on Hydraulic Laboratory Modelling with Artificial Intelligence.
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            NameFull: BABATOLA, J. O.
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              Text: Aug2023
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              Y: 2023
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